SAS® High-Performance Data Mining

Use big data to discover patterns and make faster predictions

Develop predictive models using complete data, not just a subset, to get accurate insights in minutes or seconds. Use sophisticated analytics. Perform frequent modeling iterations. And gain competitive advantage.

Answer your most difficult questions.

Use the best, most sophisticated analytical techniques to tackle difficult or unresolved problems and test new ideas. Combined with high-performance text mining, you can uncover relationships in text data and gain even more predictive power.

Bring precision to important decisions.

Improve the accuracy of your data mining results and make more precise decisions. How? Use sophisticated techniques against all data – both structured and unstructured – instead of just a subset. Handle more variables. Perform modeling iterations more frequently.

Optimize model performance.

Analytic professionals can take advantage of the massive parallel processing, in-memory environment to solve difficult business questions without infrastructure limitations. Quickly build and run complex models. And easily retrain models using different parameters.

Screenshots

Predictive Model with Text Mining Topics

Data Mining Flow

Neural Network

Decision Tree

Random Forest

Features

High-performance neural networks

High-performance random forests

High-performance variable reduction

High-performance Bayesian networks

High-performance clustering

High-performance data summarization

High-performance correlation

High-performance binning

High-performance imputation

High-performance support vector machine

Available for Greenplum, Teradata and Oracle Exadata, as well as Hadoop (Cloudera and Hortonworks distributions).